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Home Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation - Paperback
Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation
  • Books,
  • Business & Economics,
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Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation - Paperback

Original price $108.07 - Original price $108.07
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SKU 9781032210407
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by Catherine Xiaocui Lou (Author), Sardar M. N. Islam (Author), Nicholas Billington (Author)

Supply Chain Management and Corporate Governance is the first comprehensive analysis and analytical robust optimisation modelling of the relationships between corporate governance principles and supply chain management for risk management and decision making under uncertainty in supply chain operations.

Author Biography

Catherine Xiaocui Lou is a Senior Lecturer in supply chain and logistics in the Victoria University Business School, Deputy Research Lead in Business and Law and Research Fellow at the Institute for Sustainable Industries & Liveable Cities at Victoria University, Australia. She is the Global Vice Chair (Australasia) and the Australian Chairperson for the Women in Logistics and Transport, under the Chartered Institute of Logistics and Transport.

Sardar M. N. Islam is a Professor at Victoria University's Institute of Sustainable Industries and Livable Cities, Australia. He is a Distinguished Visiting Professor of Artificial Intelligence at UnSri. He has published 31 scholarly authored research books and about 250 articles, including many top-grade journal articles in his areas of expertise and interest.

Nicholas Billington has worked with applications of operations research across the last 35 years, initially at the Australian Railway Research and Development Organisation and later at Shell Australia in the areas of corporate planning, transportation and logistics.

Number of Pages: 268
Dimensions: 0.6 x 9 x 6 IN
Illustrated: Yes
Publication Date: January 29, 2024

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